NVIDIA NIM vs. Seldon Core
NVIDIA NIM vs. Seldon Core
| Product | Rating | Most Used By | Product Summary | Starting Price |
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 NVIDIA NIM | N/A | NVIDIA NIM (NVIDIA Inference Microservices) is AI Model Serving & Inference software. Each NIM is a GPU-accelerated container that loads a specific trained model, runs an optimized inference engine, and exposes an HTTP API so applications can obtain predictions or generated tokens. Operators can call NVIDIA-hosted NIM endpoints for prototyping, or pull the same microservices from NVIDIA GPU Cloud (NGC) and run them on their own NVIDIA GPUs. | N/A | |
 Seldon Core | N/A | Seldon Core is a Kubernetes-native AI Model Serving & Inference runtime. It loads trained machine learning (ML) and large language model (LLM) weights onto inference servers, exposes REST and gRPC endpoints, and executes those models in production so applications can obtain predictions or generated tokens at scale. The current architecture (Core 2) is bring-your-own-weights serving software that the operator runs on a cluster; it is not a hosted model-lab API and not a training platform. | N/A |
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
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